Makoto Sanbo

5.5k citations
55 papers · 4.2k indexed · 2 hit papers · h-index 29

Makoto Sanbo

53 papers receiving 4.1k citations

Hit Papers

A requirement for neuropilin-1 in embryonic vessel formation6401997202620062016200400600

Peers

Makoto Sanbo
Comparison fields: 5 of 119
  • Developmental Neuroscience 501
  • Cellular and Molecular Neuroscience 2.1k
  • Reproductive Medicine 475
  • Biological Psychiatry 117
  • Cell Biology 616
Replace Toshiyuki Araki with:
Toshiyuki Araki Japan
Ioannis Dragatsis United States
Fernando de Castro Spain
Katrin Anlag Germany
Chengji J. Zhou United States
Shawn M. O’Connell United States
Yue Feng United States
Joanne C. Conover United States
Brian Bates United States
Raquel Aloyz Canada
Makoto Sanbo relative to Toshiyuki Araki Japan Toshiyuki Araki's profile →
Citations per field
00.5×7.3×
Toshiyuki Araki · 1×
Citations per year

Countries citing papers authored by Makoto Sanbo

Since Specialization
Citations

This map shows the geographic impact of Makoto Sanbo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Makoto Sanbo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makoto Sanbo more than expected).

Fields of papers citing papers by Makoto Sanbo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Makoto Sanbo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Makoto Sanbo. The network helps show where Makoto Sanbo may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Makoto Sanbo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Makoto Sanbo Line = papers co-authored together Makoto Sanbo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20246
3 20236
4 202313
5 202238
6 202135
7 201976
8 20162
9 201651
10 2015100
11 201418
12 20134
13 201212
14 201245
15 2008111
16 2005175
17 199967
18 199960
19 1996265
20 199536

About Makoto Sanbo

Makoto Sanbo is a scholar working on Reproductive Medicine, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 55 papers that have together received 4.2k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (17 papers), CRISPR and Genetic Engineering (12 papers), Neuroscience and Neuropharmacology Research (11 papers), Axon Guidance and Neuronal Signaling (10 papers), Reproductive Biology and Fertility (9 papers), Hypothalamic control of reproductive hormones (9 papers), Renal and related cancers (8 papers) and Plant Reproductive Biology (6 papers). The work is most often cited by research in Developmental Neuroscience (501 citations), Cellular and Molecular Neuroscience (2.1k citations) and Reproductive Medicine (475 citations). Makoto Sanbo has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Takeshi Yagi, Hajime Fujisawa, Takashi Kitsukawa, Yoko Bekku, Masumi Hirabayashi, Masayuki Shimizu, Takahiko Kawasaki, Yoichi Matsuda, Masahiko Taniguchi and Takeshi Yagi. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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